Sr. Machine Learning Engineer, Network Engineering

This role is based in Fremont, California.

Compensation:

$168,000 - $300,000/year plus cash and stock awards and benefits.

Responsibilities:

• Design and maintain pipelines for LLM pretraining and model evaluation.
• Develop scalable backend services and distributed training infrastructure.
• Build data-ingestion and transformation pipelines for networking datasets.
• Collaborate with networking domain experts to translate operational needs into model capabilities.

Requirements:

• 5+ years of experience in applied ML or backend platform engineering.
• Strong experience with LLM training and proficiency with PyTorch.
• Solid backend engineering skills in Python and understanding of networking fundamentals.